Monthly Archives: October 2019

Five Ways To Reduce Patient Referral Leakage In Hospitals And Health Systems

Hospitals and health systems know that referrals are critical for their business, and failing to manage referrals efficiently can result in loss of revenue. Healthcare providers are losing more than 20% of revenue to patients going out-of-network for care. Most of these hospitals and health systems do not know why and where referral leakage occurs.

It’s only within the past few years healthcare leaders see patient referral leakage as a major issue, and fixing it is their high priority – Missed appointments alone cost the US healthcare system $150 billion annually. Healthcare organizations do not have a solution in place to monitor, track, and report patient referral leakage. They use their electronic health records to monitor and track referral leakage rather than having specific solutions, but healthcare leaders are not happy about how their EHR performs in this particular area.

Today, most hospitals and health systems leverage technology to prevent revenue leakage due to inefficient referral process. Tracking patient referral leakage through a referral solution gives them a complete view of their end-to-end referral process.  Technology helps providers enhance care delivery, improve patient outcomes and use of data, and support collaborative workflows.

Here are five ways to reduce patient leakage:

Understand their referral patterns so far:

Organizations should analyze past data to understand their referral patterns. By tracking the right metrics they will not only gain valuable business acumen but also understand how the hospital is performing. Hospitals today use EHR to get this data but it is not streamlined enough to crunch all the data in a logical and meaningful way.

Improve care-coordination:

Effective and efficient communication is crucial in healthcare. Patients need to receive the right level of care from their care providers. It is important to communicate effectively with all who are actively involved in patient care.

Proceed with a data-driven approach:

A data-driven approach will have a sustainable competitive advantage over those who haven’t. The right way to make decisions is by looking at the data. Understand where the leakage is happening and if it is addressable. Health systems/ Hospitals need to use a data-driven approach to guide patient referrals to the best care option available within the network. Such an approach will help meet both the patients’ and hospital needs.

Use prognostic modeling to know the implications of future referral patterns:

Organizations need to understand how fixing referral patterns today may change future referral patterns by using predictive modeling. It’s essential to analyze how these alterations will impact patient flow, care delivery and coordination with referring providers and payers.

Include it as strategic precedence and discuss at the executive level:

Patient leakage more often gets lost among other priorities at the executive level. Organizations need to make patient referral leakage a strategic priority. Top management should drive change and ensure necessary steps are taken to address this challenge.  

Tracking and understanding referral patterns will help the large hospitals streamline and manage high- overall performance referral networks, decrease patient leakage and notably impact care quality.

HealthViewX Patient Referral Management Solution smoothens the referral process and solves most operational challenges for Large Enterprise Hospitals. Do you want to know more about HealthViewX HIPAA-compliant Patient Referral Management Solution? Schedule a demo now!

How to reduce referral leakage in large hospitals?

For many large enterprise hospitals, referral leakage may amount to millions of dollars in lost revenue. Patient referrals are an important revenue generator for hospitals and losing patients to other providers can cost these hospitals upto 20 percent of their revenue. Dissatisfaction with the current referral process is widespread and every patient seeking care elsewhere is now, and potentially in the future a lost revenue opportunity for the hospitals.

Signs of an underperforming referral management system that results in referral leakage:

Inability to get complete information to process referrals at one go:

Communicating complete patient information at the time of specialty referral is crucial for high-quality consultation and coordinated patient care. The inability to get complete information leads to patient dissatisfaction, delay in processing referrals and referral leakage.  

Difficulty in finding the right provider within the network:

One of the major causes of patient referral leakage is difficulty in finding the right specialist within the network. Nearly half of the physicians surveyed said they have trouble determining who is in-network. Physicians could avoid referring out-of-network if they had information about all in-network providers.

More time spent in processing each referral:

On average referral coordinators take 15-20 minutes or sometimes more to process each referral on the receiving end just for checking missing patient information. The staff time spent coordinating referrals and their visits is tedious and time-consuming.

High patient no-show rates and referral leakage:

Patient no-show rates or missed appointments cost the U.S. health systems more than $150 billion a year. Lack of quality care and coordination among care stakeholders leads to higher no-show rates or referral leakage, due to which patient experience takes a big hit.

Manual communication and tracking systems:

Manual processes like insurance preauthorization, checking for missed patient information, etc are time-consuming Such time-consuming and cumbersome manual processes may lead to patient dissatisfaction.

Lack of referral analytics for informed decision making:

Lack of data of the referrals flowing in and out of the network affects decision making. Referral analytics gives comprehensive data on the number of patients with various referral status.

The ability to significantly improve the effectiveness of the referral process lies in the referral process standardization and technological capabilities.

Here’s how to reduce referral leakage

Standardization of processes:

Inconsistency in the patient referral process between the referring provider and the receiving provider is common. Right from obtaining prior authorization, finding the right specialist for the patient, collecting the required information for the referral, coordinating for patient appointments, etc. large hospitals are often challenged throughout the process. Hospitals need to streamline their referral workflow to achieve efficiency and have standard workflows and processes to streamline the end-to-end referral process. Achieving this efficiency in the referral process requires well-defined workflows.

Technology solution and capabilities:

Despite having an approach to monitoring and managing patient referrals, existing systems are often unable to simplify referral workflows to effectively manage the end-to-end referral process. Right from tracking authorization status, scheduling appointments, calculating referral conversion rates, staff productivity, etc. all are challenging in the current referral process. A referral solution that is efficient, technologically advanced, and has the capability to automate the end-to-end referral process is the need today. Connecting the information to objectives, understanding the workflow to obtain the information, and most importantly getting the data analytics for informed decision making will be more valuable.

Referral Management Solution – A worthwhile investment

A focused referral management process has the potential to maximize utilization, standardize processes, and enable streamlined workflows. Hospitals need to invest in solutions that will reduce referral leakage and increase patient volumes.

HealthViewX Patient Referral Management solution has features that best suit a hospitals’ Referral Management System.  A 30-minute demo with our team will help you understand how effective our solution can track and manage the referral life cycle.